基于云计算的引调水工程星载TD-InSAR地表形变监测

doi:10.11988/ckyyb.20231420

长江科学院院报 ›› 2024, Vol. 41 ›› Issue (10): 206-214.DOI: 10.11988/ckyyb.20231420

• 水利信息化 • 上一篇

基于云计算的引调水工程星载TD-InSAR地表形变监测

万鹏¹^,²^,³(), 韩贤权¹^,²^,³(), 谭勇¹^,²^,³, 秦朋¹^,²^,³

¹ 长江科学院工程安全与灾害防治研究所,武汉 430010
² 水利部水工程安全与病害防治工程技术研究中心,武汉 430010
³ 国家大坝安全工程技术研究中心,武汉 430010

收稿日期:2023-12-27 修回日期:2024-02-01 出版日期:2024-10-01 发布日期:2024-10-01
通信作者:
韩贤权(1982-),男,湖北武汉人,正高级工程师,博士,主要从事空间数据处理与虚拟地理环境监测分析研究。E-mail:hanxq@mail.crsri.cn
作者简介:
万鹏(1989-),男,河南漯河人,高级工程师,博士,主要从事水利工程形变监测、三维信息数字化等方面的研究。E-mail: wanpeng@mail.crsri.cn
基金资助:
国家自然科学基金项目(42001374); 国家自然科学基金项目(42271447); 长江勘测规划设计研究院开放创新基金项目(CX2019K02); 中央级公益性科研院所基本科研业务费专项资金资助项目(CKSF2021448)

TD-InSAR Monitoring of Land Surface Deformation along Water Diversion Projects Based on Cloud Computing

WAN Peng¹^,²^,³(), HAN Xian-quan¹^,²^,³(), TAN Yong¹^,²^,³, QIN Peng¹^,²^,³

¹ Engineering Safety and Disaster Prevention Department, Changjiang River Scientific Research Institute, Wuhan 430010, China
² Research Center of Ministry of Water Resources on Hydraulic Engineering Safety and Disaster Prevention Technology, Wuhan 430010, China
³ National Research Center on Dam Safety Engineering Technology, Wuhan 430010, China

Received:2023-12-27 Revised:2024-02-01 Published:2024-10-01 Online:2024-10-01

摘要/Abstract

摘要：

针对时间序列InSAR计算量大、时效性低、传统D-InSAR精度不高的问题,提出了TD-InSAR连续像对干涉测量方法,并利用HyP3云计算平台实现了长距离引调水工程沿线地表形变连续干涉像对快速分析。以珠江三角洲水资源配置工程为研究区,以传统PS-InSAR监测结果为参照数据对TD-InSAR地表形变探测精度进行了验证。试验结果表明:TD-InSAR取得的地表形变速率与PS-InSAR趋势一致,决定系数R²>0.7,精度相比传统D-InSAR方法提高了52.6%;基于云计算的TD-InSAR地表形变监测方法降低了时序分析的计算量,提高了时序分析的时效性,适用于大范围的地表形变快速普查分析。

关键词: 地表形变监测, 合成孔径雷达干涉测量(InSAR), 引调水工程, HyP3云计算平台, 地表形变快速普查

Abstract:

To address the high computational burden and low efficiency of time-series InSAR as well as the inadequate accuracy of traditional D-InSAR methods, we propose a TD-InSAR approach using continuous image pairs. This method enables rapid analysis of land surface deformation along long-distance water diversion and transfer projects through the HyP3 cloud computing platform. We validated the accuracy of the TD-InSAR land surface deformation detection by applying it to the Pearl River Delta Water Resources Allocation Project and comparing the results with traditional PS-InSAR monitoring data. Results demonstrate that TD-InSAR’s land surface deformation rate closely aligns with the trends observed in PS-InSAR, with a determination coefficient R² greater than 0.7. Furthermore, TD-InSAR improves accuracy by 52.6% compared to traditional D-InSAR methods. The cloud computing-based TD-InSAR approach significantly reduces the computational burden of time-series InSAR analysis, enhances time efficiency, and is well-suited for large-scale, rapid survey of land surface deformation.

Key words: land surface deformation monitoring, interferometric synthetic aperture radar(InSAR), water diversion and transfer project, HyP3 cloud computing platform, rapid survey of land surface deformation

中图分类号:

P237测绘遥感技术

万鹏, 韩贤权, 谭勇, 秦朋. 基于云计算的引调水工程星载TD-InSAR地表形变监测[J]. 长江科学院院报, 2024, 41(10): 206-214.

WAN Peng, HAN Xian-quan, TAN Yong, QIN Peng. TD-InSAR Monitoring of Land Surface Deformation along Water Diversion Projects Based on Cloud Computing[J]. Journal of Changjiang River Scientific Research Institute, 2024, 41(10): 206-214.

图/表 14

图1 试验采用的SAR影像时间与空间基线

Fig.1 Temporal and spatial baseline of SAR imagery used in the present experiment

图2 Sentinel-1 SAR影像覆盖范围示意图

Fig.2 Sentinel-1 SAR image coverage

图3 HyP3云平台D-InSAR地表形变分析技术路线

Fig.3 Technology roadmap of D-InSAR land surface deformation analysis with HyP3 cloud platform

图4 TD-InSAR平均形变量

Fig.4 Mean deformation values from TD-InSAR

图5 珠江三角洲水资源配置工程范围TD-InSAR平均形变量与沉降范围

Fig.5 Mean deformation values and subsidence range from TD-InSAR within the coverage of the Pearl River Delta Water Resources Allocation Project

图6 TD-InSAR地表形变稳定性分析注:黑色区域标准差≥0.002,白色区域标准差<0.002。

Fig.6 Stability analysis of land surface deformation from TD-InSAR

图7 TD-InSAR高稳定区域地表平均形变量

Fig.7 Mean deformation values of highly stable region from TD-InSAR

图8 珠三角水资源配置工程沿线庆盛高铁站附近区域平均形变量

Fig.8 Mean deformation values near the Qingsheng high speed railway station along the Pearl River Delta Water Allocation Project from TD-InSAR

图9 TD-InSAR相对形变速率

Fig.9 Relative deformation rate from TD-InSAR

图10 PS-InSAR整体技术流程

Fig.10 Overall technical flowchart of PS-InSAR

图11 珠江三角洲水资源配置工程全线PS-InSAR地表形变分析

Fig.11 Land surface deformation analysis of the Pearl River Delta Water Allocation Project from PS-InSAR

图12 PS-InSAR验证点与TD-InSAR对应像素相对位置分布

Fig.12 Distribution of relative positions of PS-InSAR validation points and corresponding pixels of TD-InSAR

图13 PS-InSAR与TD-InSAR年形变速率相关性分析

Fig.13 Correlation analysis between PS-InSAR and TD-InSAR annual deformation rates

图14 PS-InSAR与D-InSAR年形变速率相关性分析

Fig.14 Correlation analysis between PS-InSAR and D-InSAR annual deformation rates

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基于云计算的引调水工程星载TD-InSAR地表形变监测

TD-InSAR Monitoring of Land Surface Deformation along Water Diversion Projects Based on Cloud Computing

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